Job Title: Senior Data Engineer (Azure) Location: Ahmedabad, Gujarat Job Type: Full Time Department: Data Engineering
Job Summary
We are looking for a Senior Data Engineer (Azure) who is passionate about managing large-scale data, eager to take on challenges, and committed to delivering exceptional results. This role requires expertise in Azure data services, ETL pipelines, and database management. If you are a proactive problem solver with a strong technical background and a team player with a positive attitude, we want to hear from you.
Key Responsibilities
Design, develop, monitor, and maintain end-to-end data pipelines on Azure.
Work with Azure services such as Azure Data Factory (ADF), Azure Synapse, Databricks, and Azure Blob Storage for data ingestion, processing, and analytics.
Develop and optimize data ingestion, transformation, and analytical workflows for structured and unstructured data.
Design efficient data models to ensure optimal performance in data processing and storage.
Implement large-scale data ingestion pipelines capable of handling TBs of data.
Develop scalable and high-throughput distributed batch or real-time data solutions using Apache Kafka, Apache Airflow, and Databricks.
Build and maintain ETL/ELT pipelines for data integration and migration.
Work extensively with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB).
Optimize SQL queries, performance tuning, indexing, partitioning, and denormalization strategies.
Collaborate with cross-functional teams, including data scientists and software engineers, to integrate data solutions into production environments.
Ensure data quality, integrity, and compliance with security best practices.
Participate in client interactions and stakeholder meetings to gather requirements and provide technical insights.
Required Skills & Qualifications
Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field.
3+ years of hands-on experience in data engineering, ETL development, and data pipeline implementation.
Proficiency in Python and SQL for data processing and analysis.
Strong expertise in Azure data services (ADF, Synapse, Databricks, Blob Storage, etc.).
Experience with big data processing frameworks like Spark, Kafka, and Airflow.
Working knowledge of data warehouse solutions such as Synapse, Snowflake, Redshift, or BigQuery.
Experience with NoSQL databases (MongoDB, CosmosDB, Cassandra, GraphDB) and relational databases.
Strong analytical and problem-solving skills.
Ability to work independently, mentor peers, and meet tight deadlines.
Excellent interpersonal and communication skills.
Experience with cloud-based data architecture and security best practices.
Azure certification is a plus.
Preferred Qualifications (Nice to Have)
Experience with data lake architectures.
Knowledge of machine learning model deployment and data processing for AI applications.
Prior experience in automated data pipeline deployment using CI/CD workflows.
Benefits of Joining Us
Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
Flexible work timing, leaves for life events, work-from-home options.
Free health insurance.
Office facility with a fully-equipped game zone, in-office kitchen with affordable lunch service, and free snacks.
Sponsorship for certifications/events and library service.